Key Highlights
Intel Core Ultra 9 285K
A 24-core desktop processor designed for demanding multitasking, development and compute-intensive workloads.
ROG Strix RTX 5070 OC
12GB of GDDR7 graphics memory for compatible AI applications, GPU acceleration, rendering and creative workloads.
64GB DDR5-6000
A 2 × 32GB Corsair Vengeance memory kit for multitasking, development tools and data-intensive applications.
Samsung 990 PRO 2TB
PCIe 4.0 NVMe storage for applications, document collections, project files and AI development environments.
Introduction
The ASUS AI RAG Pro 5060 Intel Agent Computer is a preconfigured desktop system intended for users exploring local AI, document intelligence, coding assistance and retrieval-augmented generation workflows. It combines an Intel Core Ultra 9 285K processor with an ASUS ROG Strix Z890-A Gaming WiFi motherboard and a dedicated NVIDIA GeForce RTX 5070 OC graphics card.
Its 64GB system memory and 2TB Samsung 990 PRO SSD provide capacity for development environments, document collections and application data. The GPU's 12GB dedicated memory is an important consideration when selecting local AI models; supported model size and performance depend on quantization, context length, software and memory requirements.
Features and Technologies
Intel Core Ultra 9 Processing
The Intel Core Ultra 9 285K combines high-performance desktop CPU resources with an integrated NPU for supported AI workloads. It can support development, multitasking and applications that benefit from strong multi-threaded processing.
NVIDIA GeForce RTX 5070 Graphics
The ASUS ROG Strix GeForce RTX 5070 OC features 12GB of GDDR7 memory and NVIDIA Blackwell architecture. It supports compatible GPU-accelerated applications, AI experimentation, rendering and creative workloads.
64GB DDR5-6000 Memory
The listed Corsair Vengeance 2 × 32GB DDR5-6000 kit offers substantial system memory for document processing, development tools, multitasking and local AI services. Actual memory operating speed depends on system configuration and supported settings.
Samsung 990 PRO 2TB SSD
The PCIe 4.0 NVMe SSD provides fast storage for operating-system files, applications, local document collections, project assets and AI model files.
ROG Ryujin III 360 Cooling
The listed ROG Ryujin III 360 ARGB Extreme liquid CPU cooler is designed for high-performance desktop cooling. Actual temperatures and acoustics depend on ambient conditions, workload and airflow.
1000W TUF Gaming Power Supply
The listed TUF Gaming 1000W Gold power supply provides a 1000W rated output and 80 PLUS Gold efficiency classification for the assembled system.
Designed for Local RAG and AI Workflows
Retrieval-augmented generation combines a language model with relevant information retrieved from a document or knowledge collection. This system provides a desktop platform for experimenting with document indexing, embeddings, retrieval pipelines and compatible local models. The 12GB graphics memory is a key constraint when choosing models and context sizes, while system RAM and SSD capacity support the surrounding development environment and document data.
Technical Specifications
Specifications are based on the detailed component list in the referenced retailer listing. Its overview text mentions 16GB of dedicated GPU memory, while the detailed graphics-card entry specifies an RTX 5070 with 12GB GDDR7; the detailed component entry is used here. Confirm the exact configuration, accessories and warranty coverage with the seller before purchase.
Ideal Use Cases
Retrieval-Augmented Generation
Experiment with document retrieval, embeddings, vector databases and language-model workflows that use private or domain-specific knowledge collections.
Document Analysis
Develop tools for searching, summarizing and querying supported document collections using compatible local or hybrid AI software.
Coding and AI Development
Build and test AI-assisted development tools, local inference services and software projects that benefit from CPU and GPU acceleration.
Content Creation and GPU Computing
Use compatible rendering, graphics, media-processing and GPU-accelerated applications alongside development workflows.
Before You Buy
- Confirm the exact assembled configuration, GPU variant, included accessories and warranty terms with the seller.
- Note that the detailed graphics-card specification lists 12GB of VRAM. Check the memory requirements of your intended AI models and context lengths before purchase.
- For local AI deployment, verify compatibility with your preferred frameworks, GPU drivers, model formats and operating environment.
- The listed 64GB system RAM and 2TB SSD provide room for development tools and data, but large document collections and multiple services may require additional storage or memory.
- Ensure sufficient desk space, airflow and room ventilation for the GT502 cabinet, RTX 5070 graphics card and 360mm liquid cooler.
- Confirm Windows activation, included software licences, power requirements and the system-level warranty before ordering.
Frequently Asked Questions
Build Your Local AI and RAG Setup
Explore the components behind local AI development, from Intel desktop processors and NVIDIA graphics cards to high-speed storage for your datasets and projects.